Evidence map›Paper›PMID 34806088›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2021

Prediction of stroke using an algorithm to estimate arterial stiffness.

John B Kostis, Chun Pang Lin, Jeanne M Dobrzynski, William J Kostis, Matthew Ambrosio, Javier Cabrera

Abstract read
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Article in International journal of cardiology. Cardiovascular risk and prevention, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

John B KostisRutgers Robert Wood Johnson Medical School, Cardiovascular Institute, USA.
Chun Pang LinCity University of Hong Kong, Hong Kong.
Jeanne M DobrzynskiRutgers Robert Wood Johnson Medical School, Cardiovascular Institute, USA.
William J KostisRutgers Robert Wood Johnson Medical School, Cardiovascular Institute, USA.
Matthew AmbrosioRutgers Robert Wood Johnson Medical School, Cardiovascular Institute, USA.
Javier CabreraRutgers University, Department of Statistics, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArterial stiffness is important because it is associated with adverse cardiovascular events including stroke. Methods that are based on pulse wave velocity have significant limitations in estimating arterial stiffness. The purpose of this paper is to present a novel easy to apply non-invasive method to estimate arterial stiffness that is based on pulse pressure.

methodsTwo indices to estimate arterial stiffness, (1) arterial stiffness 1 (AS1) and (2) arterial stiffness 2 (AS2) were developed and applied in two National Institutes of Health funded clinical trials, the Systolic Hypertension in the Elderly Program and the Systolic Blood Pressure Intervention Trial. These indices were developed by fitting individual survival models for selected predictor variables to the response, i.e. time to stroke, by selecting the coefficients that were statistically significant at the 0.05

resultsAS1 and AS2 performed well in two goodness of fit criteria i.e. overall model p-value and concordance correlation. Comparison of Cox models using indices AS1 and AS2 and chronological age indicated that AS1 and AS2 independently predicted the occurrence of stroke at five years better than chronological age. Nearly identical effects were observed when the analyses were limited to Black participants in SPRINT with a concordance correlation of 0.80 and log rank test p-value of 0.007.

conclusionThese indices that are derived from pulse pressure predict the occurrence of stroke better than either pulse pressure or chronological age alone and may be used in designing new randomized clinical trials, and possibly incorporated in hypertension and stroke guidelines.

Indexed as

Arterial stiffnessPredictive algorithmPulse pressureStroke

Identifiers

PMID34806088
PMCPMC8586744

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